Data Science at Homehttps://datascienceathome.podbean.com
Machine learning and artificial intelligence easy for everyoneMon, 14 Aug 2017 06:19:26 -0400https://podbean.com/?v=3.2enCopyright 2017 Francesco Gadaleta. All rights reserved.Technology:Podcasting1440Data Science at Home is the podcast that makes machine learning and artificial intelligence easy for everyone Machine learning and artificial intelligence easy for everyoneFrancesco GadaletaFrancesco Gadaletafrancesco.gadaleta@gmail.comNoCleanhttp://deow9bq0xqvbj.cloudfront.net/image-logo/1799802/DATA_SCIENCE_AT_HOME.pngData Science at Homehttps://datascienceathome.podbean.com
144144How to completely change your data analytics strategy with deep learninghttp://datascienceathome.podbean.com/e/how-to-completely-change-your-data-analytics-strategy-with-deep-learning/
http://datascienceathome.podbean.com/e/how-to-completely-change-your-data-analytics-strategy-with-deep-learning/#commentsWed, 09 Aug 2017 11:39:25 -0400datascienceathomeArtificial IntelligenceDeep Learninghttp://datascienceathome.podbean.com/e/how-to-completely-change-your-data-analytics-strategy-with-deep-learning/Over the past few years, neural networks have re-emerged as powerful machine-learning models, reaching state-of-the-art results in several fields like image recognition and speech processing. More recently, neural network models started to be applied also to textual data in order to deal with natural language, and there too with promising results. In this episode I explain why is deep learning performing the way it does, and what are some of the most tedious causes of failure.
]]>Over the past few years, neural networks have re-emerged as powerful machine-learning models, reaching state-of-the-art results in several fields like image recognition and speech processing. More recently, neural network models started to be applied also to textual data in order to deal with natural language, and there too with promising results. In this episode I explain why is deep learning performing the way it does, and what are some of the most tedious causes of failure.]]>Over the past few years, neural networks have re-emerged as powerful machine-learning models, reaching state-of-the-art results in several fields like image recognition and speech processing. ...Francesco GadaletaCleanNo00:15:56Machines that learn like humanshttp://datascienceathome.podbean.com/e/machines-that-learn-like-humans/
http://datascienceathome.podbean.com/e/machines-that-learn-like-humans/#commentsTue, 28 Mar 2017 07:00:00 -0400datascienceathomeArtificial Intelligencehttp://datascienceathome.podbean.com/e/machines-that-learn-like-humans/Artificial Intelligence allow machines to learn patterns from data. The way humans learn however is different and more efficient. With Lifelong Machine Learning, machines can learn the way human beings do, faster, and more efficiently
]]>Artificial Intelligence allow machines to learn patterns from data. The way humans learn however is different and more efficient. With Lifelong Machine Learning, machines can learn the way human beings do, faster, and more efficiently]]>Artificial Intelligence allow machines to learn patterns from data. The way humans learn however is different and more efficient. With Lifelong Machine Learning, machines can ...Francesco GadaletaCleanNo00:42:06Protecting privacy and confidentiality in data and communicationshttp://datascienceathome.podbean.com/e/protecting-privacy-and-confidentiality-in-data-and-communications/
http://datascienceathome.podbean.com/e/protecting-privacy-and-confidentiality-in-data-and-communications/#commentsWed, 15 Feb 2017 08:00:00 -0400datascienceathomeprivacy and securityhttp://datascienceathome.podbean.com/e/protecting-privacy-and-confidentiality-in-data-and-communications/Talking about security of communication and privacy is never enough, especially when political instabilities are driving leaders towards decisions that will affect people on a global scale
]]>Talking about security of communication and privacy is never enough, especially when political instabilities are driving leaders towards decisions that will affect people on a global scale]]>Talking about security of communication and privacy is never enough, especially when political instabilities are driving leaders towards decisions that will affect people on a ...Francesco GadaletaCleanNo00:17:312017 Predictions in Data Sciencehttp://datascienceathome.podbean.com/e/2017-predictions-in-data-science/
http://datascienceathome.podbean.com/e/2017-predictions-in-data-science/#commentsFri, 23 Dec 2016 08:00:00 -0400datascienceathomedata scienceArtificial Intelligencehttp://datascienceathome.podbean.com/e/2017-predictions-in-data-science/We strongly believe 2017 will be a very interesting year for data science and artificial intelligence. Let me tell you what I expect and why.
]]>We strongly believe 2017 will be a very interesting year for data science and artificial intelligence. Let me tell you what I expect and why.]]>We strongly believe 2017 will be a very interesting year for data science and artificial intelligence. Let me tell you what I expect and why.Francesco GadaletaCleanNo00:20:31Statistical analysis of phenomena that smell like chaoshttp://datascienceathome.podbean.com/e/statistical-analysis-of-phenomena-that-smell-like-chaos/
http://datascienceathome.podbean.com/e/statistical-analysis-of-phenomena-that-smell-like-chaos/#commentsMon, 05 Dec 2016 08:00:00 -0400datascienceathomedata sciencehttp://datascienceathome.podbean.com/e/statistical-analysis-of-phenomena-that-smell-like-chaos/Is the market really predictable? How do stock prices increase? What is their dynamics? Here is what I think about the magics and the reality of predictions applied to markets and the stock exchange.
]]>Is the market really predictable? How do stock prices increase? What is their dynamics? Here is what I think about the magics and the reality of predictions applied to markets and the stock exchange.]]>Is the market really predictable? How do stock prices increase? What is their dynamics? Here is what I think about the magics and the reality ...Francesco GadaletaCleanNo00:10:14The minimum required by a data scientisthttp://datascienceathome.podbean.com/e/the-minimum-required-by-a-data-scientist/
http://datascienceathome.podbean.com/e/the-minimum-required-by-a-data-scientist/#commentsTue, 27 Sep 2016 07:00:00 -0400datascienceathomedata scienceArtificial Intelligencehttp://datascienceathome.podbean.com/e/the-minimum-required-by-a-data-scientist/Why the job of the data scientist can disappear soon. What is required by a data scientist to survive inflation.
]]>Why the job of the data scientist can disappear soon. What is required by a data scientist to survive inflation.]]>Why the job of the data scientist can disappear soon. What is required by a data scientist to survive inflation.Francesco GadaletaCleanNo00:16:46Data Science and Fraud Detection at iZettlehttp://datascienceathome.podbean.com/e/data-science-and-fraud-detection-at-izettle/
http://datascienceathome.podbean.com/e/data-science-and-fraud-detection-at-izettle/#commentsTue, 06 Sep 2016 07:00:00 -0400datascienceathomedata scienceprivacy and securityhttp://datascienceathome.podbean.com/e/data-science-and-fraud-detection-at-izettle/Data science is making the difference also in fraud detection. In this episode I have a conversation with an expert in the field, Engineer Eyad Sibai, who works at iZettle, a fraud detection company
]]>Data science is making the difference also in fraud detection. In this episode I have a conversation with an expert in the field, Engineer Eyad Sibai, who works at iZettle, a fraud detection company]]>Data science is making the difference also in fraud detection. In this episode I have a conversation with an expert in the field, Engineer Eyad ...Francesco GadaletaCleanNo00:16:32EU Regulations and the rise of Data Hijackershttp://datascienceathome.podbean.com/e/eu-regulations-and-the-rise-of-data-hijackers/
http://datascienceathome.podbean.com/e/eu-regulations-and-the-rise-of-data-hijackers/#commentsTue, 26 Jul 2016 07:00:00 -0400datascienceathomedata scienceprivacy and securityhttp://datascienceathome.podbean.com/e/eu-regulations-and-the-rise-of-data-hijackers/Extracting knowledge from large datasets with large number of variables is always tricky. Dimensionality reduction helps in analyzing high dimensional data, still maintaining most of the information hidden behind complexity. Here are some methods that you must try before further analysis (Part 1).
]]>Extracting knowledge from large datasets with large number of variables is always tricky. Dimensionality reduction helps in analyzing high dimensional data, still maintaining most of the information hidden behind complexity. Here are some methods that you must try before further analysis (Part 1).]]>Extracting knowledge from large datasets with large number of variables is always tricky. Dimensionality reduction helps in analyzing high dimensional data, still maintaining most of ...Francesco GadaletaCleanNo00:16:17Representative Subsets For Big Data Learninghttp://datascienceathome.podbean.com/e/representative-subsets-for-big-data-learning/
http://datascienceathome.podbean.com/e/representative-subsets-for-big-data-learning/#commentsTue, 03 May 2016 07:00:00 -0400datascienceathomedata sciencehttp://datascienceathome.podbean.com/e/representative-subsets-for-big-data-learning/How would you perform accurate classification on a very large dataset by just looking at a sample of it
]]>How would you perform accurate classification on a very large dataset by just looking at a sample of it]]>How would you perform accurate classification on a very large dataset by just looking at a sample of itFrancesco GadaletaCleanNo00:21:25History and applications of Deep Learninghttp://datascienceathome.podbean.com/e/history-and-applications-of-deep-learning/
http://datascienceathome.podbean.com/e/history-and-applications-of-deep-learning/#commentsMon, 14 Mar 2016 07:00:00 -0400datascienceathomedata scienceDeep Learninghttp://datascienceathome.podbean.com/e/history-and-applications-of-deep-learning/What is deep learning?If you have no patience, deep learning is the result of training many layers of non-linear processing units for feature extraction and data transformation e.g. from pixel, to edges, to shapes, to object classification, to scene description, captioning, etc.
]]>What is deep learning?If you have no patience, deep learning is the result of training many layers of non-linear processing units for feature extraction and data transformation e.g. from pixel, to edges, to shapes, to object classification, to scene description, captioning, etc.]]>What is deep learning?If you have no patience, deep learning is the result of training many layers of non-linear processing units for feature extraction and ...Francesco GadaletaCleanNo00:22:39Markov Chain Montecarlo with full conditionalshttp://datascienceathome.podbean.com/e/markov-chain-montecarlo-with-full-conditionals/
http://datascienceathome.podbean.com/e/markov-chain-montecarlo-with-full-conditionals/#commentsWed, 02 Mar 2016 08:00:00 -0400datascienceathomedata sciencestatisticshttp://datascienceathome.podbean.com/e/markov-chain-montecarlo-with-full-conditionals/At some point, statistical problems need sampling. Sampling consists in generating observations from a specific distribution.
]]>At some point, statistical problems need sampling. Sampling consists in generating observations from a specific distribution.]]>At some point, statistical problems need sampling. Sampling consists in generating observations from a specific distribution.Francesco GadaletaCleanNo00:17:57Frequentists and Bayesianshttp://datascienceathome.podbean.com/e/frequentists-and-bayesians/
http://datascienceathome.podbean.com/e/frequentists-and-bayesians/#commentsMon, 15 Feb 2016 08:00:00 -0400datascienceathomedata sciencestatisticshttp://datascienceathome.podbean.com/e/frequentists-and-bayesians/There are statisticians and data scientists… Among statisticians, there are some who just count. Some others who… think differently. In this show we explore the old time dilemma between frequentists and bayesians.Given a statistical problem, who’s going to be right?
]]>There are statisticians and data scientists... Among statisticians, there are some who just count. Some others who… think differently. In this show we explore the old time dilemma between frequentists and bayesians.Given a statistical problem, who’s going to be right?]]>There are statisticians and data scientists... Among statisticians, there are some who just count. Some others who… think differently. In this show we explore the ...Francesco GadaletaCleanNo00:06:5230 min with data scientist Sebastian Raschkahttp://datascienceathome.podbean.com/e/30-min-with-data-scientist-sebastian-raschka/
http://datascienceathome.podbean.com/e/30-min-with-data-scientist-sebastian-raschka/#commentsMon, 15 Feb 2016 08:00:00 -0400datascienceathomedata sciencehttp://datascienceathome.podbean.com/e/30-min-with-data-scientist-sebastian-raschka/In this show I interview Sebastian Raschka, data scientist and author of Python Machine Learning.In addition to the fun we had offline, there are great elements about machine learning, data science, current and future trends, to keep an ear on. Moreover, it is the conversation of two data scientists who contribute and operate in the field, on a daily basis.
]]>In this show I interview Sebastian Raschka, data scientist and author of Python Machine Learning.In addition to the fun we had offline, there are great elements about machine learning, data science, current and future trends, to keep an ear on. Moreover, it is the conversation of two data scientists who contribute and operate in the field, on a daily basis.]]>In this show I interview Sebastian Raschka, data scientist and author of Python Machine Learning.In addition to the fun we had offline, there are great ...Francesco GadaletaCleanNo00:34:23How to be data scientisthttp://datascienceathome.podbean.com/e/how-to-be-data-scientist/
http://datascienceathome.podbean.com/e/how-to-be-data-scientist/#commentsTue, 19 Jan 2016 08:00:00 -0400datascienceathomedata sciencehttp://datascienceathome.podbean.com/e/how-to-be-data-scientist/In this episode, we tell you how to become data scientist and join an amazing community that is changing the world with data analytics.
]]>In this episode, we tell you how to become data scientist and join an amazing community that is changing the world with data analytics.]]>In this episode, we tell you how to become data scientist and join an amazing community that is changing the world with data analytics.Francesco GadaletaCleanNo00:15:11Development and Testing Practices in Data Sciencehttp://datascienceathome.podbean.com/e/development-and-testing-practices-in-data-science/
http://datascienceathome.podbean.com/e/development-and-testing-practices-in-data-science/#commentsWed, 13 Jan 2016 08:00:00 -0400datascienceathomedata sciencehttp://datascienceathome.podbean.com/e/development-and-testing-practices-in-data-science/Should data scientists follow the old good practices of software engineering? Data scientists make software after all.
]]>Should data scientists follow the old good practices of software engineering? Data scientists make software after all.Francesco GadaletaCleanNo00:07:38Predictions in Data Science for 2016http://datascienceathome.podbean.com/e/predictions-in-data-science-for-2016/
http://datascienceathome.podbean.com/e/predictions-in-data-science-for-2016/#commentsMon, 21 Dec 2015 08:00:00 -0400datascienceathomedata sciencehttp://datascienceathome.podbean.com/e/predictions-in-data-science-for-2016/It’s time to experiment with Data Science at home. Since we are still dealing with our hosting service, consider the first episode purely experimental, even though the content might be of your interest, no matter what.
]]>It’s time to experiment with Data Science at home. Since we are still dealing with our hosting service, consider the first episode purely experimental, even ...Francesco GadaletaCleanNo00:19:30BigData on your deskhttp://datascienceathome.podbean.com/e/bigdata-on-your-desk/
http://datascienceathome.podbean.com/e/bigdata-on-your-desk/#commentsThu, 23 Jul 2015 07:00:00 -0400datascienceathomedata sciencehttp://datascienceathome.podbean.com/e/bigdata-on-your-desk/Have you ever thought to get a Big Data infrastructure on your desk? That’s right! On your desk.
]]>Have you ever thought to get a Big Data infrastructure on your desk? That’s right! On your desk.Francesco GadaletaCleanNo00:16:49Networks and Graph Databaseshttp://datascienceathome.podbean.com/e/networks-and-graph-databases/
http://datascienceathome.podbean.com/e/networks-and-graph-databases/#commentsThu, 23 Jul 2015 07:00:00 -0400datascienceathomedata sciencehttp://datascienceathome.podbean.com/e/networks-and-graph-databases/Have you ever thought to get a Big Data infrastructure on your desk? That’s right! On your desk.
]]>Have you ever thought to get a Big Data infrastructure on your desk? That’s right! On your desk.]]>Have you ever thought to get a Big Data infrastructure on your desk? That’s right! On your desk.Francesco GadaletaCleanNo00:22:49Data Science and Bio-Inspired Algorithmshttp://datascienceathome.podbean.com/e/data-science-and-bio-inspired-algorithms/
http://datascienceathome.podbean.com/e/data-science-and-bio-inspired-algorithms/#commentsWed, 08 Jul 2015 07:00:00 -0400datascienceathomedata sciencehttp://datascienceathome.podbean.com/e/data-science-and-bio-inspired-algorithms/In this episode I meet Dr Eliseo Ferrante, formerly at the University of Leuven, currently researcher at the Université de Technologie de Compiègne, who studies self-organization and evolution.
]]>In this episode I meet Dr Eliseo Ferrante, formerly at the University of Leuven, currently researcher at the Université de Technologie de Compiègne, who studies ...Francesco GadaletaCleanNo00:14:49